Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate: a 21years’ data series review across the Canadian boreal forest

Liliana Perez, Trisalyn Nelson, Nicholas C. Coops, Fabio Fontana, C. Ronnie Drever

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Climate drives ecosystem processes and impacts biodiversity. Biodiversity patterns over large areas, such as Canada's boreal, can be monitored using indirect indicators derived from remotely sensed imagery. In this paper, we characterized the historical space–time relationships between climate and a suite of indirect indicators of biodiversity, known as the Dynamic Habitat Index (DHI) to identify where climate variability is co-occurring with changes in biodiversity indicators. We represented biodiversity using three indirect indicators generated from 1987 to 2007 National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer images. By quantifying and clustering temporal variability in climate data, we defined eight homogeneous climate variability zones, where we then analyzed the DHI. Results identified unique areas of change in climate, such as the Hudson Plains, that explain significant variations in DHI. Past variability in temperatures and growing season index had a strong influence on observed vegetation productivity and seasonality changes throughout Canada's boreal. Variation in precipitation, for most of the area, was not associated with DHI changes. The methodology presented here enables assessment of spatial–temporal relationships between biodiversity and climate variability and characterizes distinctive zones of variation that may be used for prioritization and planning to ensure long-term biodiversity conservation in Canada.

Original languageEnglish (US)
Pages (from-to)676-696
Number of pages21
JournalInternational Journal of Digital Earth
Volume9
Issue number7
DOIs
StatePublished - Jul 2 2016
Externally publishedYes

Fingerprint

Biodiversity
boreal forest
biodiversity
climate
habitat
Advanced very high resolution radiometers (AVHRR)
prioritization
indicator
AVHRR
Ecosystems
seasonality
Conservation
imagery
growing season
Productivity
index
Planning
productivity
methodology
ecosystem

Keywords

  • biodiversity
  • boreal forest
  • Climate change
  • DHI
  • fPAR
  • spatial–temporal analysis

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications
  • Software

Cite this

Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate : a 21years’ data series review across the Canadian boreal forest. / Perez, Liliana; Nelson, Trisalyn; Coops, Nicholas C.; Fontana, Fabio; Drever, C. Ronnie.

In: International Journal of Digital Earth, Vol. 9, No. 7, 02.07.2016, p. 676-696.

Research output: Contribution to journalArticle

@article{b2579f012b274a7ba0d3839e3ef0b547,
title = "Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate: a 21years’ data series review across the Canadian boreal forest",
abstract = "Climate drives ecosystem processes and impacts biodiversity. Biodiversity patterns over large areas, such as Canada's boreal, can be monitored using indirect indicators derived from remotely sensed imagery. In this paper, we characterized the historical space–time relationships between climate and a suite of indirect indicators of biodiversity, known as the Dynamic Habitat Index (DHI) to identify where climate variability is co-occurring with changes in biodiversity indicators. We represented biodiversity using three indirect indicators generated from 1987 to 2007 National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer images. By quantifying and clustering temporal variability in climate data, we defined eight homogeneous climate variability zones, where we then analyzed the DHI. Results identified unique areas of change in climate, such as the Hudson Plains, that explain significant variations in DHI. Past variability in temperatures and growing season index had a strong influence on observed vegetation productivity and seasonality changes throughout Canada's boreal. Variation in precipitation, for most of the area, was not associated with DHI changes. The methodology presented here enables assessment of spatial–temporal relationships between biodiversity and climate variability and characterizes distinctive zones of variation that may be used for prioritization and planning to ensure long-term biodiversity conservation in Canada.",
keywords = "biodiversity, boreal forest, Climate change, DHI, fPAR, spatial–temporal analysis",
author = "Liliana Perez and Trisalyn Nelson and Coops, {Nicholas C.} and Fabio Fontana and Drever, {C. Ronnie}",
year = "2016",
month = "7",
day = "2",
doi = "10.1080/17538947.2015.1116623",
language = "English (US)",
volume = "9",
pages = "676--696",
journal = "International Journal of Digital Earth",
issn = "1753-8947",
publisher = "Taylor and Francis Ltd.",
number = "7",

}

TY - JOUR

T1 - Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate

T2 - a 21years’ data series review across the Canadian boreal forest

AU - Perez, Liliana

AU - Nelson, Trisalyn

AU - Coops, Nicholas C.

AU - Fontana, Fabio

AU - Drever, C. Ronnie

PY - 2016/7/2

Y1 - 2016/7/2

N2 - Climate drives ecosystem processes and impacts biodiversity. Biodiversity patterns over large areas, such as Canada's boreal, can be monitored using indirect indicators derived from remotely sensed imagery. In this paper, we characterized the historical space–time relationships between climate and a suite of indirect indicators of biodiversity, known as the Dynamic Habitat Index (DHI) to identify where climate variability is co-occurring with changes in biodiversity indicators. We represented biodiversity using three indirect indicators generated from 1987 to 2007 National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer images. By quantifying and clustering temporal variability in climate data, we defined eight homogeneous climate variability zones, where we then analyzed the DHI. Results identified unique areas of change in climate, such as the Hudson Plains, that explain significant variations in DHI. Past variability in temperatures and growing season index had a strong influence on observed vegetation productivity and seasonality changes throughout Canada's boreal. Variation in precipitation, for most of the area, was not associated with DHI changes. The methodology presented here enables assessment of spatial–temporal relationships between biodiversity and climate variability and characterizes distinctive zones of variation that may be used for prioritization and planning to ensure long-term biodiversity conservation in Canada.

AB - Climate drives ecosystem processes and impacts biodiversity. Biodiversity patterns over large areas, such as Canada's boreal, can be monitored using indirect indicators derived from remotely sensed imagery. In this paper, we characterized the historical space–time relationships between climate and a suite of indirect indicators of biodiversity, known as the Dynamic Habitat Index (DHI) to identify where climate variability is co-occurring with changes in biodiversity indicators. We represented biodiversity using three indirect indicators generated from 1987 to 2007 National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer images. By quantifying and clustering temporal variability in climate data, we defined eight homogeneous climate variability zones, where we then analyzed the DHI. Results identified unique areas of change in climate, such as the Hudson Plains, that explain significant variations in DHI. Past variability in temperatures and growing season index had a strong influence on observed vegetation productivity and seasonality changes throughout Canada's boreal. Variation in precipitation, for most of the area, was not associated with DHI changes. The methodology presented here enables assessment of spatial–temporal relationships between biodiversity and climate variability and characterizes distinctive zones of variation that may be used for prioritization and planning to ensure long-term biodiversity conservation in Canada.

KW - biodiversity

KW - boreal forest

KW - Climate change

KW - DHI

KW - fPAR

KW - spatial–temporal analysis

UR - http://www.scopus.com/inward/record.url?scp=84953305551&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84953305551&partnerID=8YFLogxK

U2 - 10.1080/17538947.2015.1116623

DO - 10.1080/17538947.2015.1116623

M3 - Article

AN - SCOPUS:84953305551

VL - 9

SP - 676

EP - 696

JO - International Journal of Digital Earth

JF - International Journal of Digital Earth

SN - 1753-8947

IS - 7

ER -